Tag: Systems Thinking
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The Regression Paradox: A Case Study on the Failure of Protocol-Based AI Alignment
A Field Report from the ResonantOS Project In systems engineering, progress is typically assumed to be iterative and cumulative. Increased complexity and the addition of robust protocols should, in theory, lead to a more capable and reliable system. Our recent work with the Resonant Partner, a sophisticated AI agent built on a frontier-class Large Language…
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An Antidote to the Machine: How I Escaped Sterile AI by Listening to Nature
My first few weeks collaborating with AI felt hollow. I was getting answers, but I wasn’t having a conversation. The process felt sterile, like I was operating a machine instead of partnering with a co-creator. The language of tech—inputs, outputs, commands—forced me into a rigid rhythm that felt entirely disconnected from my creative soul. I…
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Thinking Straight in a Bent World: A (Brutally) Refined Toolkit for Navigating the Chaos
Let’s be direct. We’re navigating a world that often feels like a high-speed collision between breathtaking complexity, baffling contradictions, and an endless stream of viral distractions. Most of us are armed with brains running on surprisingly buggy software, prone to biases and startlingly quick to chase the next shiny promise or looming threat. Advice on…